Revoke previously submitted feedback. Only the original reviewer can revoke. Requires configured wallet.
Part of the Agent0 server.
Free to start. No card required.
AI agents may call revoke_feedback to permanently remove or destroy resources in Agent0. Without a policy, an autonomous agent could delete critical data in a loop with no way to undo the damage. PolicyLayer blocks destructive tools by default and requires explicit human approval before enabling them.
Without a policy, an AI agent could call revoke_feedback in a loop, permanently destroying resources in Agent0. There is no undo for destructive operations. PolicyLayer blocks this tool by default and only allows it when a human explicitly approves the action.
Destructive tools permanently remove data. Block by default. Only enable with explicit approval workflows.
{
"version": "1",
"default": "deny",
"hide": [
"revoke_feedback"
]
}See the full Agent0 policy for all 34 tools.
These attack patterns abuse exactly the kind of access revoke_feedback gives an agent. Each links to the full case and the policy that stops it:
Other destructive tools across the catalogue. The same approach applies to each: deny by default, or require human approval.
Revoke previously submitted feedback. Only the original reviewer can revoke. Requires configured wallet.. It is categorised as a Destructive tool in the Agent0 MCP Server, which means it can permanently delete or destroy data. Block by default and require explicit approval.
Register the Agent0 MCP server in PolicyLayer and add a rule for revoke_feedback: allow, deny, rate-limit, or require approval. Point your MCP client at the PolicyLayer proxy URL and the rule is enforced on every call, before it reaches Agent0. Nothing to install.
revoke_feedback is a Destructive tool with critical risk. Critical-risk tools should be blocked by default and only enabled with explicit human approval.
Yes. Add a rate_limit block to the revoke_feedback rule in your PolicyLayer policy. For example, setting max: 10 and window: 60 limits the tool to 10 calls per minute. Rate limits are tracked per agent session and reset automatically.
Set action: deny in the PolicyLayer policy for revoke_feedback. The AI agent will receive a policy violation error and cannot call the tool. You can also include a reason field to explain why the tool is blocked.
revoke_feedback is provided by the Agent0 MCP server (@rickydata/agent0-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Deterministic rules across all 34 Agent0 tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.
Free to start. No card required.
4,600+ MCP servers and 31,000+ tools scanned and risk-classified.